diff --git a/experiment/eurocode_data/eurocode_region.py b/experiment/eurocode_data/eurocode_region.py
index 479069f97bb6ceb94496002d391e5133a49e32fc..5d94b524d6c44c016d2aac08565300ad5d764f19 100644
--- a/experiment/eurocode_data/eurocode_region.py
+++ b/experiment/eurocode_data/eurocode_region.py
@@ -47,6 +47,11 @@ class AbstractEurocodeRegion(object):
def plot_eurocode_snow_load_on_ground_characteristic_value_variable_action(self, ax, altitudes,
label='French standards',
linestyle=None):
+ # The breaking point must be exactly at 500 and 1000
+ for threshold in [500, 1000]:
+ if min(altitudes) < threshold < max(altitudes):
+ assert threshold in altitudes
+ # Plot the curve
ax.plot(altitudes, [self.valeur_caracteristique(altitude) for altitude in altitudes],
label=label, color=self.eurocode_color, linewidth=5, linestyle=linestyle)
diff --git a/papers/exceeding_snow_loads/result_trends_and_return_levels/main_result_trends_and_return_levels.py b/papers/exceeding_snow_loads/result_trends_and_return_levels/main_result_trends_and_return_levels.py
index bd8417354b50704b77f191e28532ff73902e736b..3160bed20702f60653df4a2d4cb41a51ef26cc13 100644
--- a/papers/exceeding_snow_loads/result_trends_and_return_levels/main_result_trends_and_return_levels.py
+++ b/papers/exceeding_snow_loads/result_trends_and_return_levels/main_result_trends_and_return_levels.py
@@ -66,12 +66,12 @@ def intermediate_result(altitudes, massif_names=None,
_ = compute_minimized_aic(visualizer)
# Plots
- plot_trend_map(altitude_to_visualizer)
+ # plot_trend_map(altitude_to_visualizer)
# plot_diagnosis_risk(altitude_to_visualizer)
- plot_trend_curves(altitude_to_visualizer={a: v for a, v in altitude_to_visualizer.items() if a >= 900})
+ # plot_trend_curves(altitude_to_visualizer={a: v for a, v in altitude_to_visualizer.items() if a >= 900})
plot_uncertainty_massifs(altitude_to_visualizer)
- plot_uncertainty_histogram(altitude_to_visualizer)
- plot_selection_curves(altitude_to_visualizer)
+ # plot_uncertainty_histogram(altitude_to_visualizer)
+ # plot_selection_curves(altitude_to_visualizer)
def major_result():
@@ -91,11 +91,11 @@ def major_result():
if __name__ == '__main__':
- major_result()
- # intermediate_result(altitudes=[1500, 1800][:1], massif_names=None,
- # uncertainty_methods=[ConfidenceIntervalMethodFromExtremes.my_bayes,
- # ConfidenceIntervalMethodFromExtremes.ci_mle][1:],
- # multiprocessing=True)
+ # major_result()
+ intermediate_result(altitudes=paper_altitudes, massif_names=['Beaufortain', 'Vercors'],
+ uncertainty_methods=[ConfidenceIntervalMethodFromExtremes.my_bayes,
+ ConfidenceIntervalMethodFromExtremes.ci_mle][1:],
+ multiprocessing=True)
# intermediate_result(altitudes=[900, 1200], massif_names=['Maurienne'],
# uncertainty_methods=[ConfidenceIntervalMethodFromExtremes.my_bayes,
# ConfidenceIntervalMethodFromExtremes.ci_mle][1:],
diff --git a/papers/exceeding_snow_loads/result_trends_and_return_levels/plot_uncertainty_curves.py b/papers/exceeding_snow_loads/result_trends_and_return_levels/plot_uncertainty_curves.py
index 674c4f80acb4595154394a66810eabaf1ad77815..51a2646f1eb930c1a44ce79c7e115ef9feddca11 100644
--- a/papers/exceeding_snow_loads/result_trends_and_return_levels/plot_uncertainty_curves.py
+++ b/papers/exceeding_snow_loads/result_trends_and_return_levels/plot_uncertainty_curves.py
@@ -99,8 +99,9 @@ def plot_single_uncertainty_massif_and_non_stationary_context(ax, massif_name, m
for j, uncertainty_method in enumerate(visualizer.uncertainty_methods):
if j == 0:
# Plot eurocode norm
+ altitudes_for_plot = list(range(min(altitudes), max(altitudes)+1, 100))
eurocode_region.plot_eurocode_snow_load_on_ground_characteristic_value_variable_action(ax,
- altitudes=altitudes)
+ altitudes=altitudes_for_plot)
# Plot uncertainties
color = ci_method_to_color[uncertainty_method]
@@ -162,8 +163,9 @@ def plot_tdrl_bars(altitude_to_visualizer, ax, massif_name, valid_altitudes, leg
width=150, color=colors, label=visualizers[0].label_tdrl_bar, edgecolor='black', hatch='//')
# Plot markers
markers_kwargs = [v.massif_name_to_marker_style[massif_name] for v in visualizers]
+ markersize = 20
for k in markers_kwargs:
- k['markersize'] = 10
+ k['markersize'] = markersize
for altitude, marker_kwargs, value in zip(valid_altitudes, markers_kwargs, tdrl_values):
# ax.plot([altitude], [value / 2], **marker_kwargs)
# Better to plot all the markers on the same line
@@ -172,13 +174,16 @@ def plot_tdrl_bars(altitude_to_visualizer, ax, massif_name, valid_altitudes, leg
visualizer = visualizers[0]
markers = [v.massif_name_to_marker_style[massif_name]['marker'] for v in visualizers]
marker_to_label = {m: visualizer.all_marker_style_to_label_name[m] for m in markers}
- legend_elements = AbstractStudy.get_legend_for_model_symbol(marker_to_label, markersize=9)
+ legend_elements = AbstractStudy.get_legend_for_model_symbol(marker_to_label, markersize=markersize)
ax2 = ax.twinx()
# ax2.legend(handles=legend_elements, bbox_to_anchor=(0.93, 0.7), loc='upper right')
# ax2.annotate("Filled symbol = significant trend ", xy=(0.85, 0.5), xycoords='axes fraction', fontsize=7)
ax2.legend(handles=legend_elements, loc='center left', prop={'size': legend_size})
+ # for handle in lgnd.legendHandles:
+ # handle.set_sizes([6.0])
# ax2.annotate("Filled symbol =\nsignificant trend \nw.r.t $\mathcal{M}_0$", xy=(0.6, 0.85), xycoords='axes fraction', fontsize=fontsize)
ax2.annotate('\n'.join(filled_marker_legend_list), xy=(0.23, 0.43), xycoords='axes fraction', fontsize=fontsize)
+ ax2.annotate('Markers show selected model $\mathcal{M}_N$', xy=(0.02, 0.605), xycoords='axes fraction', fontsize=fontsize)
ax2.set_yticks([])